L O A D I N G

E-Commerce

Deliver high quality gear for hunters and outdoor enthusiasts with the best industry features – driven by our commitment to integrity and loyal to our customers.

Category
Google Ads
Client
Brandon
Start Date
June 12, 2024
Role
Google Ads Expert

Project Description

AKEK – E-Commerce Google Ads Management for Premium Outdoor Gear

AKEK is a U.S.-based outdoor gear company specializing in high-performance hunting backpacks and equipment such as the Alpha 3200, Climax 5400, Striker 2100, and other rugged products built for extreme conditions.

As the dedicated Google Ads Specialist, I manage AKEK’s e-commerce advertising strategy with a clear objective:
maximize high-intent traffic, scale online sales, and improve ROAS while keeping cost efficiency under control.

My responsibility includes full ownership of Search, Shopping, and Performance Max campaigns, continuous optimization, advanced tracking, and ongoing testing to ensure profitable growth.

THE STORY

When I took over AKEK’s Google Ads, the brand had strong products but needed a more optimized and scalable advertising system. The outdoor gear niche is competitive, CPC is high, and the audience is extremely specific—hunters, hikers, and outdoor professionals.

Before my involvement, the campaigns were running but not structured for efficiency:

  • No clear asset group segmentation

  • Shopping feed wasn’t fully optimized

  • Search terms were too broad

  • Tracking inconsistencies affected bidding

  • ROAS was unstable due to improper campaign structure

My goal was to turn AKEK’s Google Ads from “spending ads” into “profitable acquisition ads.”

I rebuilt the account with a strict focus on:
✔ data accuracy
✔ keyword precision
✔ audience understanding
✔ product-level performance
✔ continuous optimization

The result was a cleaner, smarter, and scalable e-commerce advertising system built for long-term profitability.

MY APPROACH

1. Google Ads Audit & Account Restructure

I started by doing a full audit to understand the gaps in the existing setup:

  • Campaign structure inconsistencies

  • Poor segmentation between branded vs. non-branded

  • Shopping feed missing important attributes

  • Lack of conversion tracking depth

  • Missing essential negative keywords

  • Underperforming asset groups in PMax

Based on this audit, I fully restructured campaigns for clarity, control, and scale.

2. High-Intent Search Strategy

Since hunting gear buyers search with strong purchase intent, I built a Search system focusing on:

  • Isolating branded keywords

  • Creating tightly themed ad groups

  • Using exact-match & phrase-match combinations

  • Eliminating irrelevant traffic with aggressive negative keyword lists

  • Writing high-performance RSAs with compelling CTA hooks

  • Using sitelinks, callouts, price extensions, and structured snippets

This brought more qualified users at a lower cost.

3. Performance Max Optimization

Performance Max is a key driver for e-commerce, so I optimized it with:

A. Custom Asset Groups

  • Backpack-specific

  • Product-line specific (Alpha / Climax / Striker)

  • Audience-based (hunters / outdoor / adventure seekers)

  • Competitor audience signals

  • Seasonal intent groups

B. Creative Optimization

  • Updated product images

  • Added lifestyle imagery

  • Improved video assets (if available)

  • Enhanced product descriptions

This significantly improved PMax visibility and conversion rate.

4. Google Shopping Feed Optimization

I optimized the feed via (Merchant Center):

  • Improved product titles with high-intent keywords

  • Added missing GTIN/MPN attributes

  • Optimized descriptions for relevance

  • Ensured clean product categorization

  • Updated product images for better CTR

This improved Shopping impressions, clicks, and purchase intent.

5. Conversion Tracking & Analytics

I ensured the account runs on precise data:

  • GA4 + Google Ads conversion linking

  • Enhanced conversions setup

  • Purchase tracking validation

  • Cart, checkout, and ATC tracking

  • Event-based bidding adjustments

This allowed the algorithms to optimize only for profitable actions.